Anterior Segment of Eye: Imaging and Image Analysis

D, Vikram Goud and Jana, Soumya (2018) Anterior Segment of Eye: Imaging and Image Analysis. Masters thesis, Indian Institute of Technology Hyderabad.

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Anterior segment of eye mainly consists of Cornea, Anterior Chamber, Iris and Lens. The anatomy of these optical structures will determine the quality of vision and nature of eye. So imaging and image analysis can be used in the diagnosis of the eye. In this thesis three problems are addressed one on imaging system design and another two on image processing. In the first problem, Design of continuous zoom slit lamp camera, an imaging system with continuous zoom is designed with constraint to be compatible with discrete zoom system. From paraxial analysis it is found that optimal choice of the lenses will improve the magnification range of the continuous system. By using the optical simulation software (Optics studio, Zemax), complete real lens model is designed and the resultant system is having spot size within the diffraction limit, distortion is less than 1% and very less aberration values throughout the zoom range. In the second problem, Automated 3D modeling and quantification of cornea graft detachment post DSAEK based on AS-OCT images, an image processing methodology is developed to detect the detachment region between donor lenticule and host Cornea, detect nature of detachment (communicative or non-communicative) and form complete 3D of the Cornea using AS-OCT images of after DSAEK operation. Statistical analysis are performed to check the accuracy of proposed methodology, it is found that the algorithmic values are closely following the manual values. In the third problem, Automated anterior chamber depth detection using Pentacam camera images, an image processing methodology is developed to detect the depth of the anterior chamber not only at central location but also at different locations. In order to aid the complete 3D anterior chamber and 3D depth profile formation in future, Pentacam images are first segmented and depth values are calculated.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Thesis (Masters)
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 29 Jun 2018 11:24
Last Modified: 31 Jul 2019 09:23
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